🐍 Python Practice

A personal Python programming practice repository focused on rebuilding and strengthening programming skills through hands-on projects.

This repository is part of my long-term goal of becoming more comfortable with writing Python code from scratch, solving programming problems, and gradually developing better software-development habits.

🎯 Purpose

The main purpose of this repository is consistent coding practice.

Rather than only studying Python concepts theoretically, I am using small projects to practice:

• Problem solving
• Python syntax
• Functions
• Object-Oriented Programming
• Data structures
• Exception handling
• File handling
• Algorithms
• Automation
• APIs
• Data processing
• Writing cleaner and more maintainable code

The projects will gradually become more challenging as my skills improve.

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📚 Project Roadmap

The long-term goal is to complete 100 Python projects, progressing from simple programs to more practical and intermediate-level applications.

Current Progress

Project	Name	Status
001	Simple Calculator	✅ Completed
002–100	Upcoming Projects	⬜ Not Started

The complete 100-project roadmap and progress tracker can be found in:

python-100-projects-progress.md.pdf

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🚀 Current Project

001 — Simple Calculator

A command-line calculator built using Python and Object-Oriented Programming.

Features

• Addition
• Subtraction
• Multiplication
• Division
• Power calculation
• Square root
• Logarithm
• Exponential calculation
• Calculation history
• Error handling
• Interactive command-line interface

Python concepts practiced

• Classes and objects
• Constructors
• Instance attributes
• Methods
• Dictionaries
• Functions as dictionary values
• Loops
• Conditional statements
• Exception handling
• math module
• User input
• Lists
• String formatting

Run the calculator with:

python 001_calculator.py

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🧠 Learning Philosophy

The goal of this repository is not simply to collect working programs.

For each project, I aim to:

1. Understand the problem.
2. Design a solution before coding.
3. Write the code myself.
4. Debug errors independently.
5. Improve the code after it works.
6. Learn from mistakes.
7. Document what I learned.
8. Move gradually toward more complex projects.

The objective is to build the habit of coding, not just the habit of reading code.

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📈 Difficulty Progression

The projects will gradually move through:

Python Fundamentals
        ↓
Conditionals & Loops
        ↓
Functions
        ↓
Data Structures
        ↓
File Handling
        ↓
Object-Oriented Programming
        ↓
Modules & Error Handling
        ↓
APIs & Data Processing
        ↓
Automation
        ↓
Intermediate Projects

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🧪 Scientific & Biology Projects

Some projects will also be related to biology and scientific data because Python can be particularly useful for scientific programming.

Possible future projects include:

• DNA sequence analyzer
• GC-content calculator
• Reverse complement generator
• Codon translator
• FASTA file reader
• Mutation analyzer
• Protein sequence analyzer
• Scientific data processor
• Population growth simulator
• Biological data visualization

These projects will combine programming practice with scientific applications.

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🛠️ Requirements

Most projects are intended to work with a modern version of Python 3.

Check your Python installation:

python --version

Some future projects may require additional Python packages. When that happens, the required packages will be documented separately.

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📁 Repository Structure

The repository will gradually develop into a structure similar to:

python_practice/
│
├── README.md
├── LICENSE
├── 001_calculator.py
│
├── 002_...
├── 003_...
├── ...
│
└── python-100-projects-progress.md.pdf

As the number of projects increases, projects may be organized into topic-based folders.

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📊 Progress Tracking

Progress will be tracked using the 100-project roadmap.

The target is:

100 projects → 100 programming challenges → continuous improvement

Each completed project represents another opportunity to practice:

• Writing code
• Debugging
• Problem solving
• Refactoring
• Documentation
• Git/GitHub workflow

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🤝 Contributions

This is primarily a personal learning repository.

However, suggestions, constructive feedback, improvements, and interesting project ideas are welcome.

If you notice a bug or have a better approach, feel free to open an issue or discussion.

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📜 License

This project is licensed under the MIT License.

See the LICENSE file for details.

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👨‍💻 Author

Sunil Mandloi

GitHub: @sunilnarayan419-ui

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⭐ This repository is a record of my Python learning journey — from small programs to larger projects.

One project at a time. One bug at a time. One improvement at a time. 🐍